Index

Symbols

(Ray) Scheduler --address <address> ray-debug command line option ray-memory command line option ray-start command line option ray-status command line option ray-timeline command line option --args <args> ray-submit command line option --autoscaling-config <autoscaling_config> ray-start command line option --block ray-start command line option --cluster-name <cluster_name> ray-attach command line option ray-down command line option ray-exec command line option ray-get_head_ip command line option ray-monitor command line option ray-submit command line option ray-up command line option --dashboard-agent-grpc-port <dashboard_agent_grpc_port> ray-start command line option --dashboard-agent-listen-port <dashboard_agent_listen_port> ray-start command line option --dashboard-grpc-port <dashboard_grpc_port> ray-start command line option --dashboard-host <dashboard_host> ray-start command line option --dashboard-port <dashboard_port> ray-start command line option --disable-usage-stats ray-exec command line option ray-start command line option ray-submit command line option ray-up command line option --extra-screen-args <extra_screen_args> ray-submit command line option --force ray-stop command line option --gcs-server-port <gcs_server_port> ray-start command line option --grace-period <grace_period> ray-stop command line option --group-by <group_by> ray-memory command line option --head ray-start command line option --include-dashboard <include_dashboard> ray-start command line option --keep-min-workers ray-down command line option --lines <lines> ray-monitor command line option --log-color <log_color> ray-attach command line option ray-down command line option ray-exec command line option ray-monitor command line option ray-start command line option ray-stop command line option ray-submit command line option ray-up command line option --log-style <log_style> ray-attach command line option ray-down command line option ray-exec command line option ray-monitor command line option ray-start command line option ray-stop command line option ray-submit command line option ray-up command line option --max-worker-port <max_worker_port> ray-start command line option --max-workers <max_workers> ray-up command line option --metrics-export-port <metrics_export_port> ray-start command line option --min-worker-port <min_worker_port> ray-start command line option --min-workers <min_workers> ray-up command line option --n <num_entries> ray-memory command line option --new ray-attach command line option --no-config-cache ray-attach command line option ray-exec command line option ray-submit command line option ray-up command line option --no-format ray-memory command line option --no-redirect-output ray-start command line option --no-restart ray-up command line option --node-ip-address <node_ip_address> ray-start command line option --node-manager-port <node_manager_port> ray-start command line option --num-cpus <num_cpus> ray-start command line option --num-entries ray-memory command line option --num-gpus <num_gpus> ray-start command line option

--object-manager-port <object_manager_port> ray-start command line option --object-store-memory <object_store_memory> ray-start command line option --plasma-directory <plasma_directory> ray-start command line option --plasma-store-socket-name <plasma_store_socket_name> ray-start command line option --port <port> ray-start command line option --port-forward <port_forward> ray-attach command line option ray-exec command line option ray-submit command line option --ray-client-server-port <ray_client_server_port> ray-start command line option --ray-debugger-external ray-start command line option --raylet-socket-name <raylet_socket_name> ray-start command line option --redirect-command-output ray-up command line option --redis_password <redis_password> ray-memory command line option ray-status command line option --resources <resources> ray-start command line option --restart-only ray-up command line option --run-env <run_env> ray-exec command line option --runtime-env-agent-port <runtime_env_agent_port> ray-start command line option --screen ray-attach command line option ray-exec command line option ray-submit command line option --sort-by <sort_by> ray-memory command line option --start ray-attach command line option ray-exec command line option ray-submit command line option --stats-only ray-memory command line option --stop ray-exec command line option ray-submit command line option --storage <storage> ray-start command line option --temp-dir <temp_dir> ray-start command line option --tmux ray-attach command line option ray-exec command line option ray-submit command line option --units <units> ray-memory command line option --use-login-shells ray-up command line option --use-normal-shells ray-up command line option --verbose ray-attach command line option ray-down command line option ray-exec command line option ray-monitor command line option ray-start command line option ray-stop command line option ray-submit command line option ray-up command line option --worker-port-list <worker_port_list> ray-start command line option --workers-only ray-down command line option --yes ray-down command line option ray-up command line option -f ray-stop command line option -g ray-stop command line option -N ray-attach command line option -n ray-attach command line option ray-down command line option ray-exec command line option ray-get_head_ip command line option ray-monitor command line option ray-submit command line option ray-up command line option -p ray-attach command line option ray-exec command line option ray-submit command line option -v ray-attach command line option ray-down command line option ray-exec command line option ray-monitor command line option ray-start command line option ray-stop command line option ray-submit command line option ray-up command line option -y ray-down command line option ray-up command line option

_

__call__() (ray.tune.stopper.Stopper method) __init__() (ray.data.ActorPoolStrategy method) (ray.data.aggregate.AggregateFn method) (ray.data.block.BlockAccessor method) (ray.data.DataContext method) (ray.data.Dataset method) (ray.data.Datasource method) (ray.data.datasource.BaseFileMetadataProvider method) (ray.data.datasource.BlockWritePathProvider method) (ray.data.datasource.DefaultBlockWritePathProvider method) (ray.data.datasource.DefaultFileMetadataProvider method) (ray.data.datasource.DefaultParquetMetadataProvider method) (ray.data.datasource.FastFileMetadataProvider method) (ray.data.datasource.FileMetadataProvider method) (ray.data.datasource.ParquetMetadataProvider method) (ray.data.datasource.PathPartitionFilter method) (ray.data.datasource.PathPartitionParser method) (ray.data.datasource.Reader method) (ray.data.grouped_data.GroupedData method) (ray.data.preprocessor.Preprocessor method) (ray.data.random_access_dataset.RandomAccessDataset method) (ray.train.Checkpoint method) (ray.train.context.TrainContext method) (ray.train.DataConfig method) (ray.tune.Callback method) (ray.tune.logger.aim.AimLoggerCallback method) (ray.tune.logger.LoggerCallback method) (ray.tune.ProgressReporter method) (ray.tune.stopper.Stopper method) (ray.tune.Trainable method) (ray.tune.Tuner method)

A

AbsMax (class in ray.data.aggregate) accelerator_type (ray.serve.schema.RayActorOptionsSchema attribute) Action 空间 Actor Actor task actor_id (ray.runtime_context.RuntimeContext property) actor_locality_enabled (ray.data.ExecutionOptions attribute) ActorPlacementGroupRemoved ActorPool (class in ray.util) ActorPoolStrategy (class in ray.data) ActorUnschedulableError add() (ray.data.ExecutionResources method) add_column() (ray.data.Dataset method) add_configurations() (ray.tune.search.basic_variant.BasicVariantGenerator method) add_evaluated_point() (ray.tune.search.ax.AxSearch method) (ray.tune.search.bayesopt.BayesOptSearch method) (ray.tune.search.bohb.TuneBOHB method) (ray.tune.search.hyperopt.HyperOptSearch method) (ray.tune.search.nevergrad.NevergradSearch method) (ray.tune.search.Repeater method) (ray.tune.search.Searcher method) (ray.tune.search.sigopt.SigOptSearch method) (ray.tune.search.zoopt.ZOOptSearch method) add_evaluated_trials() (ray.tune.search.ax.AxSearch method) (ray.tune.search.bayesopt.BayesOptSearch method) (ray.tune.search.bohb.TuneBOHB method) (ray.tune.search.ConcurrencyLimiter method) (ray.tune.search.dragonfly.DragonflySearch method) (ray.tune.search.hebo.HEBOSearch method) (ray.tune.search.hyperopt.HyperOptSearch method) (ray.tune.search.nevergrad.NevergradSearch method) (ray.tune.search.optuna.OptunaSearch method) (ray.tune.search.Repeater method) (ray.tune.search.Searcher method) (ray.tune.search.sigopt.SigOptSearch method) (ray.tune.search.skopt.SkOptSearch method) (ray.tune.search.zoopt.ZOOptSearch method) add_metric_column() (ray.tune.CLIReporter method) (ray.tune.JupyterNotebookReporter method) add_parameter_column() (ray.tune.CLIReporter method) (ray.tune.JupyterNotebookReporter method) add_trial() (ray.tune.web_server.TuneClient method) additional_resources_per_worker (ray.train.ScalingConfig property)

Agent aggregate() (ray.data.Dataset method) (ray.data.grouped_data.GroupedData method) aggregate_combined_blocks() (ray.data.block.BlockAccessor static method) AggregateFn (class in ray.data.aggregate) AimLoggerCallback (class in ray.tune.logger.aim) Algorithm 算法 allgather() (in module ray.util.collective.collective) allgather_multigpu() (in module ray.util.collective.collective) allow_if_no_extension (ray.data.datasource.FileExtensionFilter attribute) allreduce() (in module ray.util.collective.collective) allreduce_multigpu() (in module ray.util.collective.collective) app_name (ray.serve.context.ReplicaContext attribute) app_status (ray.serve.schema.ServeStatusSchema attribute) Application (class in ray.serve) application_details_route_prefix_format() (ray.serve.schema.ApplicationDetails class method) application_names_nonempty() (ray.serve.schema.ServeDeploySchema class method) application_names_unique() (ray.serve.schema.ServeDeploySchema class method) application_routes_unique() (ray.serve.schema.ServeDeploySchema class method) applications (ray.serve.schema.ServeDeploySchema attribute) (ray.serve.schema.ServeInstanceDetails attribute) args (ray.serve.schema.ServeApplicationSchema attribute) as_directory() (ray.train.Checkpoint method) as_placement_group_factory() (ray.train.ScalingConfig method) as_trainable() (ray.train.data_parallel_trainer.DataParallelTrainer method) (ray.train.gbdt_trainer.GBDTTrainer method) (ray.train.horovod.HorovodTrainer method) (ray.train.lightgbm.LightGBMTrainer method) (ray.train.tensorflow.TensorflowTrainer method) (ray.train.torch.TorchTrainer method) (ray.train.trainer.BaseTrainer method) (ray.train.xgboost.XGBoostTrainer method) ASHAScheduler (in module ray.tune.schedulers) Asynchronous execution 异步执行 Asynchronous sampling AsyncHyperBandScheduler (class in ray.tune.schedulers) AsyncioActorExit Autoscaler Autoscaling autoscaling_config (ray.serve.schema.DeploymentSchema attribute) AutoscalingCluster (class in ray.cluster_utils) available_resources() (in module ray) AxSearch (class in ray.tune.search.ax)

B

Backend (class in ray.train.backend) backend (ray.train.torch.TorchConfig attribute) backend_cls (ray.train.horovod.HorovodConfig property) (ray.train.tensorflow.TensorflowConfig property) (ray.train.torch.TorchConfig property) BackendConfig (class in ray.train.backend) barrier() (in module ray.util.collective.collective) base_dir (ray.data.datasource.Partitioning attribute) base_trial_resources (ray.tune.schedulers.ResourceChangingScheduler property) BaseFileMetadataProvider (class in ray.data.datasource) BaseTrainer (class in ray.train.trainer) BasicVariantGenerator (class in ray.tune.search.basic_variant) Batch format Batch size batch() (in module ray.serve) batch_to_block() (ray.data.block.BlockAccessor static method) BayesOptSearch (class in ray.tune.search.bayesopt) best_checkpoint (ray.tune.ExperimentAnalysis property) best_checkpoints (ray.train.Result attribute)

best_config (ray.tune.ExperimentAnalysis property) best_dataframe (ray.tune.ExperimentAnalysis property) best_logdir (ray.tune.ExperimentAnalysis property) best_result (ray.tune.ExperimentAnalysis property) best_result_df (ray.tune.ExperimentAnalysis property) best_trial (ray.tune.ExperimentAnalysis property) bind() (ray.serve.Deployment method) BlendSearch (in module ray.tune.search.flaml) Block (in module ray.data.block) BlockAccessor (class in ray.data.block) BlockExecStats (class in ray.data.block) BlockMetadata (class in ray.data.block) BlockWritePathProvider (class in ray.data.datasource) broadcast() (in module ray.util.collective.collective) broadcast_multigpu() (in module ray.util.collective.collective) builder() (ray.data.block.BlockAccessor static method) bundle_count (ray.util.placement_group.PlacementGroup property) bundle_specs (ray.util.placement_group.PlacementGroup property) bundles (ray.tune.execution.placement_groups.PlacementGroupFactory property)

C

Callback (class in ray.tune) callbacks (ray.train.RunConfig attribute) can_restore() (ray.train.data_parallel_trainer.DataParallelTrainer class method) (ray.train.gbdt_trainer.GBDTTrainer class method) (ray.train.horovod.HorovodTrainer class method) (ray.train.lightgbm.LightGBMTrainer class method) (ray.train.tensorflow.TensorflowTrainer class method) (ray.train.torch.TorchTrainer class method) (ray.train.trainer.BaseTrainer class method) (ray.train.xgboost.XGBoostTrainer class method) (ray.tune.Tuner class method) cancel() (in module ray) (in module ray.workflow) Categorizer (class in ray.data.preprocessors) CFO (in module ray.tune.search.flaml) chdir_to_trial_dir (ray.tune.TuneConfig attribute) Checkpoint (class in ray.train) checkpoint (ray.train.Result attribute) (ray.tune.experiment.trial.Trial property) checkpoint_at_end (ray.train.CheckpointConfig attribute) checkpoint_config (ray.train.RunConfig attribute) (ray.tune.Experiment property) checkpoint_dir (ray.tune.Experiment property) checkpoint_frequency (ray.train.CheckpointConfig attribute) checkpoint_score_attribute (ray.train.CheckpointConfig attribute) checkpoint_score_order (ray.train.CheckpointConfig attribute) CheckpointConfig (class in ray.train) choice() (in module ray.tune) choose_trial_to_run() (ray.tune.schedulers.HyperBandForBOHB method) (ray.tune.schedulers.HyperBandScheduler method) (ray.tune.schedulers.pb2.PB2 method) (ray.tune.schedulers.PopulationBasedTraining method) (ray.tune.schedulers.TrialScheduler method) CKPT_FILE_TMPL (ray.tune.search.ax.AxSearch attribute) (ray.tune.search.basic_variant.BasicVariantGenerator attribute) (ray.tune.search.bayesopt.BayesOptSearch attribute) (ray.tune.search.bohb.TuneBOHB attribute) (ray.tune.search.ConcurrencyLimiter attribute) (ray.tune.search.dragonfly.DragonflySearch attribute) (ray.tune.search.hebo.HEBOSearch attribute) (ray.tune.search.hyperopt.HyperOptSearch attribute) (ray.tune.search.nevergrad.NevergradSearch attribute) (ray.tune.search.optuna.OptunaSearch attribute) (ray.tune.search.Repeater attribute) (ray.tune.search.Searcher attribute) (ray.tune.search.sigopt.SigOptSearch attribute) (ray.tune.search.skopt.SkOptSearch attribute) (ray.tune.search.zoopt.ZOOptSearch attribute) cleanup() (ray.tune.Trainable method) clear() (ray.runtime_env.RuntimeEnv method) (ray.runtime_env.RuntimeEnvConfig method)

CLIReporter (class in ray.tune) CLUSTER_CONFIG_FILE ray-attach command line option ray-down command line option ray-exec command line option ray-get_head_ip command line option ray-monitor command line option ray-submit command line option ray-up command line option cluster_resources() (in module ray) CMD ray-exec command line option code_search_path (ray.job_config.JobConfig attribute) columns() (ray.data.Dataset method) combine() (ray.data.block.BlockAccessor method) CombinedStopper (class in ray.tune.stopper) Concatenator (class in ray.data.preprocessors) ConcurrencyLimiter (class in ray.tune.search) config (ray.train.Result property) (ray.tune.experiment.trial.Trial attribute) configure() (ray.train.DataConfig method) connect() (ray.autoscaler._private.fake_multi_node.test_utils.DockerCluster method) Connector context (ray.data.Dataset property) CONTINUE (ray.tune.schedulers.FIFOScheduler attribute) (ray.tune.schedulers.HyperBandForBOHB attribute) (ray.tune.schedulers.HyperBandScheduler attribute) (ray.tune.schedulers.MedianStoppingRule attribute) (ray.tune.schedulers.pb2.PB2 attribute) (ray.tune.schedulers.PopulationBasedTraining attribute) (ray.tune.schedulers.PopulationBasedTrainingReplay attribute) (ray.tune.schedulers.ResourceChangingScheduler attribute) (ray.tune.schedulers.TrialScheduler attribute) controller_info (ray.serve.schema.ServeInstanceDetails attribute) copy() (ray.runtime_env.RuntimeEnv method) (ray.runtime_env.RuntimeEnvConfig method) Count (class in ray.data.aggregate) count() (ray.data.Dataset method) (ray.data.grouped_data.GroupedData method) Counter (class in ray.util.metrics) cpu_time_s (ray.data.block.BlockExecStats attribute) create_collective_group() (in module ray.util.collective.collective) (ray.util.collective.collective.GroupManager method) create_placement_group_factory() (ray.tune.experiment.trial.Trial method) create_reader() (ray.data.Datasource method) create_scheduler() (in module ray.tune.schedulers) create_searcher() (in module ray.tune.search) CrossLanguageError CSVLoggerCallback (class in ray.tune.logger) current_actor (ray.runtime_context.RuntimeContext property) current_placement_group_id (ray.runtime_context.RuntimeContext property) CustomKBinsDiscretizer (class in ray.data.preprocessors)

D

DataConfig (class in ray.train) DataContext (class in ray.data) dataframe() (ray.tune.ExperimentAnalysis method) DataIterator (class in ray.data) DataParallelTrainer (class in ray.train.data_parallel_trainer) Dataset (class in ray.data) (object) dataset_format() (ray.data.Dataset method) Datasource (class in ray.data) debug_string() (ray.tune.schedulers.AsyncHyperBandScheduler method) (ray.tune.schedulers.HyperBandForBOHB method) (ray.tune.schedulers.HyperBandScheduler method) (ray.tune.schedulers.TrialScheduler method) default_batch_format() (ray.data.Dataset method) DEFAULT_COLUMNS (ray.tune.CLIReporter attribute) (ray.tune.JupyterNotebookReporter attribute) default_ingest_options() (ray.train.DataConfig static method) default_resource_request() (ray.tune.Trainable class method) DefaultBlockWritePathProvider (class in ray.data.datasource) DefaultFileMetadataProvider (class in ray.data.datasource) DefaultParquetMetadataProvider (class in ray.data.datasource) delete() (in module ray.serve) (ray.serve.Deployment method) delete_checkpoint() (ray.tune.Trainable method) deploy() (ray.serve.Deployment method) deploy_mode (ray.serve.schema.ServeInstanceDetails attribute) deployed_app_config (ray.serve.schema.ApplicationDetails attribute) Deployment (class in ray.serve) deployment (ray.serve.context.ReplicaContext attribute) Deployment graph deployment() (in module ray.serve) deployment_config (ray.serve.schema.DeploymentDetails attribute) deployment_names (ray.serve.schema.ServeApplicationSchema property) deployment_route_prefix_not_set() (ray.serve.schema.DeploymentDetails class method) deployment_schema_route_prefix_format() (ray.serve.schema.DeploymentSchema class method) deployment_statuses (ray.serve.schema.ServeStatusSchema attribute) DeploymentHandle (class in ray.serve.handle) DeploymentResponse (class in ray.serve.handle) DeploymentResponseGenerator (class in ray.serve.handle)

deployments (ray.serve.schema.ApplicationDetails attribute) (ray.serve.schema.ServeApplicationSchema attribute) Deprecated() (in module ray.util.annotations) deserialize() (ray.data.preprocessor.Preprocessor static method) (ray.data.preprocessors.Categorizer static method) (ray.data.preprocessors.Concatenator static method) (ray.data.preprocessors.CustomKBinsDiscretizer static method) (ray.data.preprocessors.LabelEncoder static method) (ray.data.preprocessors.MaxAbsScaler static method) (ray.data.preprocessors.MinMaxScaler static method) (ray.data.preprocessors.MultiHotEncoder static method) (ray.data.preprocessors.Normalizer static method) (ray.data.preprocessors.OneHotEncoder static method) (ray.data.preprocessors.OrdinalEncoder static method) (ray.data.preprocessors.PowerTransformer static method) (ray.data.preprocessors.RobustScaler static method) (ray.data.preprocessors.SimpleImputer static method) (ray.data.preprocessors.StandardScaler static method) (ray.data.preprocessors.UniformKBinsDiscretizer static method) deserialize_lineage() (ray.data.Dataset static method) destroy_collective_group() (in module ray.util.collective.collective) (ray.util.collective.collective.GroupManager method) DeveloperAPI() (in module ray.util.annotations) diagnose_serialization() (in module ray.tune.utils) DIRECTORY (ray.data.datasource.PartitionStyle attribute) Disabled (ray.serve.config.ProxyLocation attribute) Distributed Data-Parallel distributed_sampler_kwargs (ray.train.lightning.RayDDPStrategy property) (ray.train.lightning.RayDeepSpeedStrategy property) (ray.train.lightning.RayFSDPStrategy property) DistributeResources (class in ray.tune.schedulers.resource_changing_scheduler) DistributeResourcesToTopJob (class in ray.tune.schedulers.resource_changing_scheduler) do_write() (ray.data.Datasource method) DockerCluster (class in ray.autoscaler._private.fake_multi_node.test_utils) docs_path (ray.serve.schema.ApplicationDetails attribute) downscale_delay_s (ray.serve.config.AutoscalingConfig attribute) downscale_smoothing_factor (ray.serve.config.AutoscalingConfig attribute) DragonflySearch (class in ray.tune.search.dragonfly) Driver drop_columns() (ray.data.Dataset method)

E

empty() (ray.util.queue.Queue method) enable_reproducibility() (in module ray.train.torch) Environment Episode error (ray.train.Result attribute) error_file (ray.tune.experiment.trial.Trial attribute) errors (ray.tune.ResultGrid property) estimate_inmemory_data_size() (ray.data.datasource.Reader method) evaluated_params (ray.tune.experiment.trial.Trial attribute) EveryNode (ray.serve.config.ProxyLocation attribute) exec_stats (ray.data.block.BlockMetadata attribute)

ExecutionOptions (class in ray.data) ExecutionResources (class in ray.data) expand_paths() (ray.data.datasource.BaseFileMetadataProvider method) Experiment (class in ray.tune) experiment_path (ray.tune.ExperimentAnalysis property) (ray.tune.ResultGrid property) experiment_tag (ray.tune.experiment.trial.Trial attribute) ExperimentAnalysis (class in ray.tune) ExperimentPlateauStopper (class in ray.tune.stopper) export_model() (ray.tune.Trainable method) extensions_fields (ray.runtime_env.RuntimeEnv attribute)

F

fail_fast (ray.train.FailureConfig attribute) failure_config (ray.train.RunConfig attribute) FailureConfig (class in ray.train) FastFileMetadataProvider (class in ray.data.datasource) Fault tolerance field_names (ray.data.datasource.Partitioning attribute) FIFOScheduler (class in ray.tune.schedulers) file_extensions (ray.data.datasource.FileExtensionFilter attribute) FileExtensionFilter (class in ray.data.datasource) FileMetadataProvider (class in ray.data.datasource) filesystem (ray.data.datasource.Partitioning attribute) (ray.train.Checkpoint attribute) (ray.train.Result property) (ray.tune.ResultGrid property) filter() (ray.data.Dataset method) FINISHED (ray.tune.search.ax.AxSearch attribute) (ray.tune.search.bayesopt.BayesOptSearch attribute) (ray.tune.search.bohb.TuneBOHB attribute) (ray.tune.search.ConcurrencyLimiter attribute) (ray.tune.search.dragonfly.DragonflySearch attribute) (ray.tune.search.hebo.HEBOSearch attribute) (ray.tune.search.hyperopt.HyperOptSearch attribute) (ray.tune.search.nevergrad.NevergradSearch attribute) (ray.tune.search.optuna.OptunaSearch attribute) (ray.tune.search.Repeater attribute) (ray.tune.search.Searcher attribute) (ray.tune.search.sigopt.SigOptSearch attribute) (ray.tune.search.skopt.SkOptSearch attribute) (ray.tune.search.zoopt.ZOOptSearch attribute) fit() (ray.data.preprocessor.Preprocessor method) (ray.data.preprocessors.Categorizer method) (ray.data.preprocessors.Concatenator method) (ray.data.preprocessors.CustomKBinsDiscretizer method) (ray.data.preprocessors.LabelEncoder method) (ray.data.preprocessors.MaxAbsScaler method) (ray.data.preprocessors.MinMaxScaler method) (ray.data.preprocessors.MultiHotEncoder method) (ray.data.preprocessors.Normalizer method) (ray.data.preprocessors.OneHotEncoder method) (ray.data.preprocessors.OrdinalEncoder method) (ray.data.preprocessors.PowerTransformer method) (ray.data.preprocessors.RobustScaler method) (ray.data.preprocessors.SimpleImputer method) (ray.data.preprocessors.StandardScaler method) (ray.data.preprocessors.UniformKBinsDiscretizer method) (ray.train.data_parallel_trainer.DataParallelTrainer method) (ray.train.gbdt_trainer.GBDTTrainer method) (ray.train.horovod.HorovodTrainer method) (ray.train.lightgbm.LightGBMTrainer method) (ray.train.tensorflow.TensorflowTrainer method) (ray.train.torch.TorchTrainer method) (ray.train.trainer.BaseTrainer method) (ray.train.xgboost.XGBoostTrainer method) (ray.tune.Tuner method)

fit_transform() (ray.data.preprocessor.Preprocessor method) (ray.data.preprocessors.Categorizer method) (ray.data.preprocessors.Concatenator method) (ray.data.preprocessors.CustomKBinsDiscretizer method) (ray.data.preprocessors.LabelEncoder method) (ray.data.preprocessors.MaxAbsScaler method) (ray.data.preprocessors.MinMaxScaler method) (ray.data.preprocessors.MultiHotEncoder method) (ray.data.preprocessors.Normalizer method) (ray.data.preprocessors.OneHotEncoder method) (ray.data.preprocessors.OrdinalEncoder method) (ray.data.preprocessors.PowerTransformer method) (ray.data.preprocessors.RobustScaler method) (ray.data.preprocessors.SimpleImputer method) (ray.data.preprocessors.StandardScaler method) (ray.data.preprocessors.UniformKBinsDiscretizer method) fixed_number_replicas (ray.serve.config.HTTPOptions attribute) fixed_number_replicas_should_exist() (ray.serve.config.HTTPOptions class method) fixed_number_selection_seed (ray.serve.config.HTTPOptions attribute) flat_map() (ray.data.Dataset method) for_block() (ray.data.block.BlockAccessor static method) Framework from_arrow() (in module ray.data) from_arrow_refs() (in module ray.data) from_dask() (in module ray.data) from_directory() (ray.train.Checkpoint class method) from_huggingface() (in module ray.data) from_items() (in module ray.data) from_json() (ray.job_config.JobConfig class method) (ray.tune.Experiment class method) from_mars() (in module ray.data) from_modin() (in module ray.data) from_numpy() (in module ray.data) from_numpy_refs() (in module ray.data) from_pandas() (in module ray.data) from_pandas_refs() (in module ray.data) from_path() (ray.train.Result class method) from_placement_group_factory() (ray.train.ScalingConfig class method) from_spark() (in module ray.data) from_tf() (in module ray.data) from_torch() (in module ray.data) fromkeys() (ray.runtime_env.RuntimeEnv method) (ray.runtime_env.RuntimeEnvConfig method) full() (ray.util.queue.Queue method) fully_executed() (ray.data.Dataset method) func_or_class (ray.serve.Deployment property) FunctionTrainable (class in ray.tune.trainable.function_trainable)

G

Gauge (class in ray.util.metrics) GBDTTrainer (class in ray.train.gbdt_trainer) GCS / Global Control Service gcs_address (ray.runtime_context.RuntimeContext property) get() (in module ray) (ray.runtime_context.RuntimeContext method) (ray.runtime_env.RuntimeEnvConfig method) (ray.util.queue.Queue method) get_actor() (in module ray) get_actor_id() (ray.runtime_context.RuntimeContext method) get_all_configs() (ray.tune.ExperimentAnalysis method) get_all_trials() (ray.tune.web_server.TuneClient method) get_app_handle() (in module ray.serve) get_assigned_resources() (ray.runtime_context.RuntimeContext method) get_async() (ray.data.random_access_dataset.RandomAccessDataset method) (ray.util.queue.Queue method) get_auto_filled_metrics() (ray.tune.Trainable method) get_best_checkpoint() (ray.train.Result method) (ray.tune.ExperimentAnalysis method) get_best_config() (ray.tune.ExperimentAnalysis method) get_best_result() (ray.tune.ResultGrid method) get_best_trial() (ray.tune.ExperimentAnalysis method) get_checkpoint() (in module ray.train) get_collective_group_size() (in module ray.util.collective.collective) get_config() (ray.tune.Trainable method) get_context() (in module ray.train) get_current() (ray.data.DataContext static method) get_current_placement_group() (in module ray.util) get_dataframe() (ray.tune.ResultGrid method) get_dataset_config() (ray.train.data_parallel_trainer.DataParallelTrainer method) (ray.train.horovod.HorovodTrainer method) (ray.train.tensorflow.TensorflowTrainer method) (ray.train.torch.TorchTrainer method) get_dataset_shard() (in module ray.train) get_deployment_handle() (in module ray.serve) get_device() (in module ray.train.torch) get_downscale_smoothing_factor() (ray.serve.config.AutoscalingConfig method) get_empty_schema_dict() (ray.serve.schema.ServeApplicationSchema static method) (ray.serve.schema.ServeDeploySchema static method) (ray.serve.schema.ServeInstanceDetails static method) (ray.serve.schema.ServeStatusSchema static method) get_experiment_checkpoint_dir() (ray.tune.Experiment class method) get_experiment_name() (ray.train.context.TrainContext method) get_gpu_ids() (in module ray) get_group_by_name() (ray.util.collective.collective.GroupManager method) get_handle() (ray.serve.Deployment method) get_internal_block_refs() (ray.data.Dataset method) get_job_id() (ray.runtime_context.RuntimeContext method) get_last_checkpoint() (ray.tune.ExperimentAnalysis method) get_local_rank() (ray.train.context.TrainContext method) get_local_world_size() (ray.train.context.TrainContext method) get_metadata() (in module ray.workflow) (ray.data.block.BlockAccessor method) (ray.train.Checkpoint method) (ray.train.context.TrainContext method)

get_model() (ray.train.lightgbm.LightGBMTrainer static method) (ray.train.xgboost.XGBoostTrainer static method) get_multiplexed_model_id() (in module ray.serve) get_name() (ray.data.Datasource method) get_next() (ray.util.ActorPool method) get_next_unordered() (ray.util.ActorPool method) get_node_id() (ray.runtime_context.RuntimeContext method) get_node_rank() (ray.train.context.TrainContext method) get_nowait() (ray.util.queue.Queue method) get_nowait_batch() (ray.util.queue.Queue method) get_output() (in module ray.workflow) get_output_async() (in module ray.workflow) get_placement_group_id() (ray.runtime_context.RuntimeContext method) get_rank() (in module ray.util.collective.collective) get_read_tasks() (ray.data.datasource.Reader method) get_replica_context() (in module ray.serve) get_resource_ids() (ray.runtime_context.RuntimeContext method) get_results() (ray.tune.Tuner method) get_runtime_context() (in module ray.runtime_context) get_runtime_env_string() (ray.runtime_context.RuntimeContext method) get_state() (ray.tune.Callback method) (ray.tune.logger.aim.AimLoggerCallback method) (ray.tune.logger.CSVLoggerCallback method) (ray.tune.logger.JsonLoggerCallback method) (ray.tune.logger.LoggerCallback method) (ray.tune.logger.TBXLoggerCallback method) get_status() (in module ray.workflow) get_storage() (ray.train.context.TrainContext method) get_task_id() (ray.runtime_context.RuntimeContext method) get_trainable_name() (ray.tune.Experiment class method) get_trial() (ray.tune.web_server.TuneClient method) get_trial_dir() (ray.train.context.TrainContext method) get_trial_id() (ray.train.context.TrainContext method) get_trial_name() (ray.train.context.TrainContext method) get_trial_resources() (ray.train.context.TrainContext method) get_upscale_smoothing_factor() (ray.serve.config.AutoscalingConfig method) get_user_configured_option_names() (ray.serve.schema.DeploymentSchema method) get_worker_id() (ray.runtime_context.RuntimeContext method) get_world_rank() (ray.train.context.TrainContext method) get_world_size() (ray.train.context.TrainContext method) GetTimeoutError graceful_shutdown_timeout_s (ray.serve.schema.DeploymentSchema attribute) graceful_shutdown_wait_loop_s (ray.serve.schema.DeploymentSchema attribute) grid_search() (in module ray.tune) groupby() (ray.data.Dataset method) GroupedData (class in ray.data.grouped_data) GroupManager (class in ray.util.collective.collective) grpc_options (ray.serve.schema.ServeDeploySchema attribute) (ray.serve.schema.ServeInstanceDetails attribute) grpc_servicer_func_callable (ray.serve.config.gRPCOptions property) grpc_servicer_functions (ray.serve.config.gRPCOptions attribute) (ray.serve.schema.gRPCOptionsSchema attribute)

H

has_checkpoint() (ray.tune.search.basic_variant.BasicVariantGenerator method) has_free() (ray.util.ActorPool method) has_next() (ray.util.ActorPool method) has_serializable_lineage() (ray.data.Dataset method) Head node head_bundle_is_empty (ray.tune.execution.placement_groups.PlacementGroupFactory property) head_cpus (ray.tune.execution.placement_groups.PlacementGroupFactory property) HeadOnly (ray.serve.config.ProxyLocation attribute) health_check_period_s (ray.serve.schema.DeploymentSchema attribute) health_check_timeout_s (ray.serve.schema.DeploymentSchema attribute) HEBOSearch (class in ray.tune.search.hebo) Histogram (class in ray.util.metrics)

HIVE (ray.data.datasource.PartitionStyle attribute) HorovodConfig (class in ray.train.horovod) HorovodTrainer (class in ray.train.horovod) host (ray.serve.config.HTTPOptions attribute) (ray.serve.schema.HTTPOptionsSchema attribute) (ray.serve.schema.ServeApplicationSchema attribute) HPO http_options (ray.serve.schema.ServeDeploySchema attribute) (ray.serve.schema.ServeInstanceDetails attribute) HyperBandForBOHB (class in ray.tune.schedulers) HyperBandScheduler (class in ray.tune.schedulers) HyperOptSearch (class in ray.tune.search.hyperopt)

I

import_path (ray.serve.schema.ServeApplicationSchema attribute) import_path_format_valid() (ray.serve.schema.ServeApplicationSchema class method) inc() (ray.util.metrics.Counter method) info (ray.util.metrics.Counter property) (ray.util.metrics.Gauge property) (ray.util.metrics.Histogram property) Ingress Deployment ingress() (in module ray.serve) init() (in module ray) init_collective_group() (in module ray.util.collective.collective) init_local_path() (ray.tune.experiment.trial.Trial method) init_logdir() (ray.tune.experiment.trial.Trial method) init_method (ray.train.torch.TorchConfig attribute) initial_replicas (ray.serve.config.AutoscalingConfig attribute) input_files (ray.data.block.BlockMetadata attribute) input_files() (ray.data.Dataset method) inspect_serializability() (in module ray.util)

is_driver_deployment (ray.serve.schema.DeploymentSchema attribute) is_empty (ray.util.placement_group.PlacementGroup property) is_finished() (ray.tune.search.basic_variant.BasicVariantGenerator method) is_fully_executed() (ray.data.Dataset method) is_group_initialized() (in module ray.util.collective.collective) is_initialized() (in module ray) items() (ray.runtime_env.RuntimeEnv method) (ray.runtime_env.RuntimeEnvConfig method) iter_batches() (ray.data.DataIterator method) (ray.data.Dataset method) iter_rows() (ray.data.block.BlockAccessor method) (ray.data.Dataset method) iter_tf_batches() (ray.data.Dataset method) iter_torch_batches() (ray.data.DataIterator method) (ray.data.Dataset method) iteration (ray.tune.Trainable property) iterator() (ray.data.Dataset method)

J

java_actor_class() (in module ray.cross_language) java_function() (in module ray.cross_language) Job job_id (ray.runtime_context.RuntimeContext property)

JobConfig (class in ray.job_config) JsonLoggerCallback (class in ray.tune.logger) JupyterNotebookReporter (class in ray.tune) jvm_options (ray.job_config.JobConfig attribute)

K

keep_alive_timeout_s (ray.serve.config.HTTPOptions attribute) (ray.serve.schema.HTTPOptionsSchema attribute) key (ray.train.horovod.HorovodConfig attribute) keys() (ray.runtime_env.RuntimeEnv method) (ray.runtime_env.RuntimeEnvConfig method)

kill() (in module ray) kill_node() (ray.autoscaler._private.fake_multi_node.test_utils.DockerCluster method) known_fields (ray.runtime_env.RuntimeEnv attribute) (ray.runtime_env.RuntimeEnvConfig attribute) kubernetes_dict() (ray.serve.schema.ServeApplicationSchema method)

L

LabelEncoder (class in ray.data.preprocessors) last_deployed_time_s (ray.serve.schema.ApplicationDetails attribute) lazy() (ray.data.Dataset method) LightGBMTrainer (class in ray.train.lightgbm) lightning_module_state_dict() (ray.train.lightning.RayFSDPStrategy method) limit() (ray.data.Dataset method) Lineage list_all() (in module ray.workflow) load_checkpoint() (ray.tune.Trainable method) local_dir (ray.train.RunConfig attribute) (ray.tune.Experiment property) (ray.tune.experiment.trial.Trial property) local_path (ray.tune.Experiment property) (ray.tune.experiment.trial.Trial attribute) locality_with_output (ray.data.ExecutionOptions attribute) LocalRayletDiedError location (ray.serve.config.HTTPOptions attribute) location_backfill_no_server() (ray.serve.config.HTTPOptions class method) log_result() (ray.tune.Trainable method) log_to_file (ray.train.RunConfig attribute)

log_trial_end() (ray.tune.logger.LoggerCallback method) log_trial_restore() (ray.tune.logger.aim.AimLoggerCallback method) (ray.tune.logger.CSVLoggerCallback method) (ray.tune.logger.JsonLoggerCallback method) (ray.tune.logger.LoggerCallback method) (ray.tune.logger.TBXLoggerCallback method) log_trial_result() (ray.tune.logger.LoggerCallback method) log_trial_save() (ray.tune.logger.aim.AimLoggerCallback method) (ray.tune.logger.CSVLoggerCallback method) (ray.tune.logger.JsonLoggerCallback method) (ray.tune.logger.LoggerCallback method) (ray.tune.logger.TBXLoggerCallback method) log_trial_start() (ray.tune.logger.CSVLoggerCallback method) (ray.tune.logger.LoggerCallback method) logdir (ray.tune.experiment.trial.Trial property) (ray.tune.Trainable property) LoggerCallback (class in ray.tune.logger) lograndint() (in module ray.tune) loguniform() (in module ray.tune) look_back_period_s (ray.serve.config.AutoscalingConfig attribute)

M

map() (ray.data.Dataset method) (ray.util.ActorPool method) map_batches() (ray.data.Dataset method) map_groups() (ray.data.grouped_data.GroupedData method) map_unordered() (ray.util.ActorPool method) materialize() (ray.data.Dataset method) Max (class in ray.data.aggregate) max() (ray.data.Dataset method) (ray.data.grouped_data.GroupedData method) max_concurrent_queries (ray.serve.Deployment property) (ray.serve.schema.DeploymentSchema attribute) max_concurrent_trials (ray.tune.TuneConfig attribute) max_failures (ray.train.FailureConfig attribute) max_replicas (ray.serve.config.AutoscalingConfig attribute) max_replicas_per_node (ray.serve.schema.DeploymentSchema attribute) MaxAbsScaler (class in ray.data.preprocessors) MaximumIterationStopper (class in ray.tune.stopper) Mean (class in ray.data.aggregate) mean() (ray.data.Dataset method) (ray.data.grouped_data.GroupedData method) MedianStoppingRule (class in ray.tune.schedulers) memory (ray.serve.schema.RayActorOptionsSchema attribute) merge_sorted_blocks() (ray.data.block.BlockAccessor static method) message (ray.serve.schema.ApplicationDetails attribute) (ray.serve.schema.DeploymentDetails attribute) metadata (ray.job_config.JobConfig attribute) method() (in module ray) metric (ray.tune.schedulers.FIFOScheduler property) (ray.tune.schedulers.HyperBandForBOHB property) (ray.tune.schedulers.HyperBandScheduler property) (ray.tune.schedulers.MedianStoppingRule property) (ray.tune.schedulers.pb2.PB2 property) (ray.tune.schedulers.PopulationBasedTraining property) (ray.tune.schedulers.PopulationBasedTrainingReplay property) (ray.tune.schedulers.ResourceChangingScheduler property) (ray.tune.schedulers.TrialScheduler property) (ray.tune.search.ax.AxSearch property) (ray.tune.search.basic_variant.BasicVariantGenerator property) (ray.tune.search.bayesopt.BayesOptSearch property) (ray.tune.search.bohb.TuneBOHB property) (ray.tune.search.ConcurrencyLimiter property) (ray.tune.search.dragonfly.DragonflySearch property) (ray.tune.search.hebo.HEBOSearch property) (ray.tune.search.hyperopt.HyperOptSearch property) (ray.tune.search.nevergrad.NevergradSearch property) (ray.tune.search.optuna.OptunaSearch property) (ray.tune.search.Repeater property) (ray.tune.search.Searcher property) (ray.tune.search.sigopt.SigOptSearch property) (ray.tune.search.skopt.SkOptSearch property) (ray.tune.search.zoopt.ZOOptSearch property) (ray.tune.TuneConfig attribute)

metrics (ray.train.Result attribute) metrics_dataframe (ray.train.Result attribute) metrics_interval_s (ray.serve.config.AutoscalingConfig attribute) middlewares (ray.serve.config.HTTPOptions attribute) min() (ray.data.Dataset method) (ray.data.grouped_data.GroupedData method) min_replicas (ray.serve.config.AutoscalingConfig attribute) MinMaxScaler (class in ray.data.preprocessors) mode (ray.tune.search.ax.AxSearch property) (ray.tune.search.bayesopt.BayesOptSearch property) (ray.tune.search.bohb.TuneBOHB property) (ray.tune.search.ConcurrencyLimiter property) (ray.tune.search.dragonfly.DragonflySearch property) (ray.tune.search.hebo.HEBOSearch property) (ray.tune.search.hyperopt.HyperOptSearch property) (ray.tune.search.nevergrad.NevergradSearch property) (ray.tune.search.optuna.OptunaSearch property) (ray.tune.search.Repeater property) (ray.tune.search.Searcher property) (ray.tune.search.sigopt.SigOptSearch property) (ray.tune.search.skopt.SkOptSearch property) (ray.tune.search.zoopt.ZOOptSearch property) (ray.tune.TuneConfig attribute) Model module ray ray.util.collective.collective Multi-agent multiget() (ray.data.random_access_dataset.RandomAccessDataset method) MultiHotEncoder (class in ray.data.preprocessors) multiplexed() (in module ray.serve)

N

name (ray.serve.Deployment property) (ray.serve.schema.ApplicationDetails attribute) (ray.serve.schema.DeploymentDetails attribute) (ray.serve.schema.DeploymentSchema attribute) (ray.serve.schema.ServeApplicationSchema attribute) (ray.serve.schema.ServeStatusSchema attribute) (ray.train.RunConfig attribute) Namespace namespace (ray.runtime_context.RuntimeContext property) nested_host_and_port() (ray.serve.schema.ServeDeploySchema class method) NevergradSearch (class in ray.tune.search.nevergrad) next_trial() (ray.tune.search.basic_variant.BasicVariantGenerator method) nics (ray.train.horovod.HorovodConfig attribute) Node node_id (ray.data.block.BlockExecStats attribute) (ray.runtime_context.RuntimeContext property) (ray.util.scheduling_strategies.NodeAffinitySchedulingStrategy attribute) NodeAffinitySchedulingStrategy (class in ray.util.scheduling_strategies) nodes() (in module ray) NOOP (ray.tune.schedulers.FIFOScheduler attribute) (ray.tune.schedulers.HyperBandForBOHB attribute) (ray.tune.schedulers.HyperBandScheduler attribute) (ray.tune.schedulers.MedianStoppingRule attribute) (ray.tune.schedulers.pb2.PB2 attribute) (ray.tune.schedulers.PopulationBasedTraining attribute) (ray.tune.schedulers.PopulationBasedTrainingReplay attribute) (ray.tune.schedulers.ResourceChangingScheduler attribute) (ray.tune.schedulers.TrialScheduler attribute)

normalized_base_dir (ray.data.datasource.Partitioning property) Normalizer (class in ray.data.preprocessors) num_blocks() (ray.data.Dataset method) num_cpus (ray.serve.config.HTTPOptions attribute) (ray.serve.schema.RayActorOptionsSchema attribute) num_cpus_per_worker (ray.train.ScalingConfig property) num_errors (ray.tune.ResultGrid property) num_gpus (ray.serve.schema.RayActorOptionsSchema attribute) num_gpus_per_worker (ray.train.ScalingConfig property) num_replicas (ray.serve.Deployment property) (ray.serve.schema.DeploymentSchema attribute) num_replicas_and_autoscaling_config_mutually_exclusive() (ray.serve.schema.DeploymentSchema class method) num_rows (ray.data.block.BlockMetadata attribute) num_rows() (ray.data.block.BlockAccessor method) num_samples (ray.tune.TuneConfig attribute) num_terminated (ray.tune.ResultGrid property) num_to_keep (ray.train.CheckpointConfig attribute) num_workers (ray.train.ScalingConfig attribute)

O

Object Object ownership Object reference Object spilling Object store object_store_memory (ray.serve.schema.RayActorOptionsSchema attribute) object_store_memory_str() (ray.data.ExecutionResources method) ObjectFetchTimedOutError OBJECTIVE_MAP (ray.tune.search.sigopt.SigOptSearch attribute) ObjectLostError ObjectReconstructionFailedError ObjectReconstructionFailedLineageEvictedError ObjectReconstructionFailedMaxAttemptsExceededError ObjectStoreFullError Observation observe() (ray.util.metrics.Histogram method) of() (ray.data.datasource.FileExtensionFilter static method) (ray.data.datasource.PathPartitionFilter static method) (ray.data.datasource.PathPartitionParser static method) Off-Policy Offline data Offline RL On-Policy on_checkpoint() (ray.tune.Callback method) (ray.tune.experiment.trial.Trial method) (ray.tune.logger.aim.AimLoggerCallback method) (ray.tune.logger.CSVLoggerCallback method) (ray.tune.logger.JsonLoggerCallback method) (ray.tune.logger.LoggerCallback method) (ray.tune.logger.TBXLoggerCallback method) on_experiment_end() (ray.tune.Callback method) (ray.tune.logger.aim.AimLoggerCallback method) (ray.tune.logger.CSVLoggerCallback method) (ray.tune.logger.JsonLoggerCallback method) (ray.tune.logger.LoggerCallback method) (ray.tune.logger.TBXLoggerCallback method) on_restore() (ray.tune.experiment.trial.Trial method) on_save() (ray.train.huggingface.transformers.RayTrainReportCallback method) on_shutdown() (ray.train.backend.Backend method) on_start() (ray.train.backend.Backend method) on_step_begin() (ray.tune.Callback method) (ray.tune.logger.aim.AimLoggerCallback method) (ray.tune.logger.CSVLoggerCallback method) (ray.tune.logger.JsonLoggerCallback method) (ray.tune.logger.LoggerCallback method) (ray.tune.logger.TBXLoggerCallback method) on_step_end() (ray.tune.Callback method) (ray.tune.logger.aim.AimLoggerCallback method) (ray.tune.logger.CSVLoggerCallback method) (ray.tune.logger.JsonLoggerCallback method) (ray.tune.logger.LoggerCallback method) (ray.tune.logger.TBXLoggerCallback method) on_training_start() (ray.train.backend.Backend method) on_trial_add() (ray.tune.schedulers.AsyncHyperBandScheduler method) (ray.tune.schedulers.HyperBandForBOHB method) (ray.tune.schedulers.HyperBandScheduler method) (ray.tune.schedulers.TrialScheduler method) on_trial_complete() (ray.tune.Callback method) (ray.tune.schedulers.AsyncHyperBandScheduler method) (ray.tune.schedulers.HyperBandForBOHB method) (ray.tune.schedulers.HyperBandScheduler method) (ray.tune.schedulers.TrialScheduler method) (ray.tune.search.ax.AxSearch method) (ray.tune.search.bayesopt.BayesOptSearch method) (ray.tune.search.dragonfly.DragonflySearch method) (ray.tune.search.hebo.HEBOSearch method) (ray.tune.search.hyperopt.HyperOptSearch method) (ray.tune.search.nevergrad.NevergradSearch method) (ray.tune.search.Repeater method) (ray.tune.search.Searcher method) (ray.tune.search.sigopt.SigOptSearch method) (ray.tune.search.skopt.SkOptSearch method) (ray.tune.search.zoopt.ZOOptSearch method)

on_trial_error() (ray.tune.Callback method) (ray.tune.schedulers.HyperBandForBOHB method) (ray.tune.schedulers.HyperBandScheduler method) (ray.tune.schedulers.TrialScheduler method) on_trial_recover() (ray.tune.Callback method) (ray.tune.logger.aim.AimLoggerCallback method) (ray.tune.logger.CSVLoggerCallback method) (ray.tune.logger.JsonLoggerCallback method) (ray.tune.logger.LoggerCallback method) (ray.tune.logger.TBXLoggerCallback method) on_trial_remove() (ray.tune.schedulers.AsyncHyperBandScheduler method) (ray.tune.schedulers.HyperBandForBOHB method) (ray.tune.schedulers.HyperBandScheduler method) (ray.tune.schedulers.TrialScheduler method) on_trial_restore() (ray.tune.Callback method) on_trial_result() (ray.tune.Callback method) (ray.tune.schedulers.AsyncHyperBandScheduler method) (ray.tune.schedulers.HyperBandForBOHB method) (ray.tune.schedulers.HyperBandScheduler method) (ray.tune.schedulers.MedianStoppingRule method) (ray.tune.schedulers.TrialScheduler method) (ray.tune.search.ax.AxSearch method) (ray.tune.search.basic_variant.BasicVariantGenerator method) (ray.tune.search.bayesopt.BayesOptSearch method) (ray.tune.search.dragonfly.DragonflySearch method) (ray.tune.search.hebo.HEBOSearch method) (ray.tune.search.nevergrad.NevergradSearch method) (ray.tune.search.Repeater method) (ray.tune.search.Searcher method) (ray.tune.search.sigopt.SigOptSearch method) (ray.tune.search.skopt.SkOptSearch method) (ray.tune.search.zoopt.ZOOptSearch method) on_trial_save() (ray.tune.Callback method) on_trial_start() (ray.tune.Callback method) on_write_complete() (ray.data.Datasource method) on_write_failed() (ray.data.Datasource method) on_write_start() (ray.data.Datasource method) OneHotEncoder (class in ray.data.preprocessors) OOM (Out of Memory) optimizer (ray.tune.search.bayesopt.BayesOptSearch attribute) (ray.tune.search.zoopt.ZOOptSearch attribute) options() (ray.actor.ActorClass method) (ray.remote_function.RemoteFunction method) (ray.serve.Deployment method) (ray.serve.handle.DeploymentHandle method) (ray.serve.handle.RayServeHandle method) (ray.serve.handle.RayServeSyncHandle method) OptunaSearch (class in ray.tune.search.optuna) order (ray.tune.integration.lightgbm.TuneReportCallback attribute) (ray.tune.integration.lightgbm.TuneReportCheckpointCallback attribute) OrdinalEncoder (class in ray.data.preprocessors) OutOfDiskError output_queue (ray.tune.JupyterNotebookReporter property) OwnerDiedError

P

ParquetMetadataProvider (class in ray.data.datasource) parser (ray.data.datasource.FileExtensionFilter property) (ray.data.datasource.PathPartitionFilter property) Partitioning (class in ray.data.datasource) PartitionStyle (class in ray.data.datasource) path (ray.train.Checkpoint attribute) (ray.train.Result property) (ray.tune.Experiment property) (ray.tune.experiment.trial.Trial attribute) PathPartitionFilter (class in ray.data.datasource) PathPartitionParser (class in ray.data.datasource) PAUSE (ray.tune.schedulers.FIFOScheduler attribute) (ray.tune.schedulers.HyperBandForBOHB attribute) (ray.tune.schedulers.HyperBandScheduler attribute) (ray.tune.schedulers.MedianStoppingRule attribute) (ray.tune.schedulers.pb2.PB2 attribute) (ray.tune.schedulers.PopulationBasedTraining attribute) (ray.tune.schedulers.PopulationBasedTrainingReplay attribute) (ray.tune.schedulers.ResourceChangingScheduler attribute) (ray.tune.schedulers.TrialScheduler attribute) PB2 (class in ray.tune.schedulers.pb2) pid (ray.serve.schema.ReplicaDetails attribute) Placement group Placement Group Bundle placement_group (ray.util.scheduling_strategies.PlacementGroupSchedulingStrategy attribute) placement_group() (in module ray.util) placement_group_bundle_index (ray.util.scheduling_strategies.PlacementGroupSchedulingStrategy attribute) placement_group_bundles (ray.serve.schema.DeploymentSchema attribute) placement_group_capture_child_tasks (ray.util.scheduling_strategies.PlacementGroupSchedulingStrategy attribute) placement_group_strategy (ray.serve.schema.DeploymentSchema attribute) placement_group_table() (in module ray.util) placement_group_timeout_s (ray.train.horovod.HorovodConfig attribute) placement_strategy (ray.train.ScalingConfig attribute) PlacementGroup (class in ray.util.placement_group) PlacementGroupFactory (class in ray.tune.execution.placement_groups) PlacementGroupSchedulingStrategy (class in ray.util.scheduling_strategies) PlasmaObjectNotAvailable plugin_uris() (ray.runtime_env.RuntimeEnv method) Policy pop() (ray.runtime_env.RuntimeEnv method) (ray.runtime_env.RuntimeEnvConfig method) pop_idle() (ray.util.ActorPool method) popitem() (ray.runtime_env.RuntimeEnv method) (ray.runtime_env.RuntimeEnvConfig method) PopulationBasedTraining (class in ray.tune.schedulers) PopulationBasedTrainingReplay (class in ray.tune.schedulers) port (ray.serve.config.gRPCOptions attribute) (ray.serve.config.HTTPOptions attribute) (ray.serve.schema.gRPCOptionsSchema attribute) (ray.serve.schema.HTTPOptionsSchema attribute) (ray.serve.schema.ServeApplicationSchema attribute)

port_forward (ray.tune.web_server.TuneClient attribute) PowerTransformer (class in ray.data.preprocessors) Predictor preferred_batch_format() (ray.data.preprocessor.Preprocessor class method) (ray.data.preprocessors.Categorizer class method) (ray.data.preprocessors.Concatenator class method) (ray.data.preprocessors.CustomKBinsDiscretizer class method) (ray.data.preprocessors.LabelEncoder class method) (ray.data.preprocessors.MaxAbsScaler class method) (ray.data.preprocessors.MinMaxScaler class method) (ray.data.preprocessors.MultiHotEncoder class method) (ray.data.preprocessors.Normalizer class method) (ray.data.preprocessors.OneHotEncoder class method) (ray.data.preprocessors.OrdinalEncoder class method) (ray.data.preprocessors.PowerTransformer class method) (ray.data.preprocessors.RobustScaler class method) (ray.data.preprocessors.SimpleImputer class method) (ray.data.preprocessors.StandardScaler class method) (ray.data.preprocessors.UniformKBinsDiscretizer class method) prefetch_file_metadata() (ray.data.datasource.ParquetMetadataProvider method) prepare_data_loader() (in module ray.train.torch) prepare_dataset_shard() (in module ray.train.tensorflow) prepare_model() (in module ray.train.torch) prepare_read() (ray.data.Datasource method) prepare_trainer() (in module ray.train.huggingface.transformers) (in module ray.train.lightning) preprocess_datasets() (ray.train.gbdt_trainer.GBDTTrainer method) (ray.train.trainer.BaseTrainer method) Preprocessor (class in ray.data.preprocessor) preserve_order (ray.data.ExecutionOptions attribute) progress_reporter (ray.train.RunConfig attribute) ProgressReporter (class in ray.tune) proxies (ray.serve.schema.ServeInstanceDetails attribute) proxy_location (ray.serve.schema.ServeDeploySchema attribute) (ray.serve.schema.ServeInstanceDetails attribute) ProxyLocation (class in ray.serve.config) PUBLIC_KEYS (ray.tune.Experiment attribute) public_spec (ray.tune.Experiment property) PublicAPI() (in module ray.util.annotations) push() (ray.util.ActorPool method) put() (in module ray) (ray.util.queue.Queue method) put_async() (ray.util.queue.Queue method) put_nowait() (ray.util.queue.Queue method) put_nowait_batch() (ray.util.queue.Queue method)

Q

qlograndint() (in module ray.tune) qloguniform() (in module ray.tune) qrandint() (in module ray.tune)

qrandn() (in module ray.tune) qsize() (ray.util.queue.Queue method) Queue (class in ray.util.queue) quniform() (in module ray.tune)

R

randint() (in module ray.tune) randn() (in module ray.tune) random_sample() (ray.data.Dataset method) random_shuffle() (ray.data.block.BlockAccessor method) (ray.data.Dataset method) RandomAccessDataset (class in ray.data.random_access_dataset) randomize_block_order() (ray.data.Dataset method) range() (in module ray.data) range_tensor() (in module ray.data) ray module Ray Agent Ray application Ray Client Ray Cluster Ray Dashboard ray-attach command line option --cluster-name <cluster_name> --log-color <log_color> --log-style <log_style> --new --no-config-cache --port-forward <port_forward> --screen --start --tmux --verbose -n -N -p -v CLUSTER_CONFIG_FILE ray-debug command line option --address <address> ray-down command line option --cluster-name <cluster_name> --keep-min-workers --log-color <log_color> --log-style <log_style> --verbose --workers-only --yes -n -v -y CLUSTER_CONFIG_FILE ray-exec command line option --cluster-name <cluster_name> --disable-usage-stats --log-color <log_color> --log-style <log_style> --no-config-cache --port-forward <port_forward> --run-env <run_env> --screen --start --stop --tmux --verbose -n -p -v CLUSTER_CONFIG_FILE CMD ray-get_head_ip command line option --cluster-name <cluster_name> -n CLUSTER_CONFIG_FILE ray-memory command line option --address <address> --group-by <group_by> --n <num_entries> --no-format --num-entries --redis_password <redis_password> --sort-by <sort_by> --stats-only --units <units> ray-monitor command line option --cluster-name <cluster_name> --lines <lines> --log-color <log_color> --log-style <log_style> --verbose -n -v CLUSTER_CONFIG_FILE ray-start command line option --address <address> --autoscaling-config <autoscaling_config> --block --dashboard-agent-grpc-port <dashboard_agent_grpc_port> --dashboard-agent-listen-port <dashboard_agent_listen_port> --dashboard-grpc-port <dashboard_grpc_port> --dashboard-host <dashboard_host> --dashboard-port <dashboard_port> --disable-usage-stats --gcs-server-port <gcs_server_port> --head --include-dashboard <include_dashboard> --log-color <log_color> --log-style <log_style> --max-worker-port <max_worker_port> --metrics-export-port <metrics_export_port> --min-worker-port <min_worker_port> --no-redirect-output --node-ip-address <node_ip_address> --node-manager-port <node_manager_port> --num-cpus <num_cpus> --num-gpus <num_gpus> --object-manager-port <object_manager_port> --object-store-memory <object_store_memory> --plasma-directory <plasma_directory> --plasma-store-socket-name <plasma_store_socket_name> --port <port> --ray-client-server-port <ray_client_server_port> --ray-debugger-external --raylet-socket-name <raylet_socket_name> --resources <resources> --runtime-env-agent-port <runtime_env_agent_port> --storage <storage> --temp-dir <temp_dir> --verbose --worker-port-list <worker_port_list> -v ray-status command line option --address <address> --redis_password <redis_password> ray-stop command line option --force --grace-period <grace_period> --log-color <log_color> --log-style <log_style> --verbose -f -g -v ray-submit command line option --args <args> --cluster-name <cluster_name> --disable-usage-stats --extra-screen-args <extra_screen_args> --log-color <log_color> --log-style <log_style> --no-config-cache --port-forward <port_forward> --screen --start --stop --tmux --verbose -n -p -v CLUSTER_CONFIG_FILE SCRIPT SCRIPT_ARGS ray-timeline command line option --address <address> ray-up command line option --cluster-name <cluster_name> --disable-usage-stats --log-color <log_color> --log-style <log_style> --max-workers <max_workers> --min-workers <min_workers> --no-config-cache --no-restart --redirect-command-output --restart-only --use-login-shells --use-normal-shells --verbose --yes -n -v -y CLUSTER_CONFIG_FILE

ray.util.collective.collective module ray_actor_options (ray.serve.Deployment property) (ray.serve.schema.DeploymentSchema attribute) ray_namespace (ray.job_config.JobConfig attribute) RayActorError RayDDPStrategy (class in ray.train.lightning) RayDeepSpeedStrategy (class in ray.train.lightning) RayError RayFSDPStrategy (class in ray.train.lightning) Raylet RayLightningEnvironment (class in ray.train.lightning) RayServeHandle (class in ray.serve.handle) RayServeSyncHandle (class in ray.serve.handle) RaySystemError RayTaskError RayTrainReportCallback (class in ray.train.huggingface.transformers) (class in ray.train.lightning) read_binary_files() (in module ray.data) read_csv() (in module ray.data) read_datasource() (in module ray.data) read_images() (in module ray.data) read_json() (in module ray.data) read_mongo() (in module ray.data) read_numpy() (in module ray.data) read_parquet() (in module ray.data) read_parquet_bulk() (in module ray.data) read_sql() (in module ray.data) read_text() (in module ray.data) read_tfrecords() (in module ray.data) read_webdataset() (in module ray.data) Reader (class in ray.data.datasource) ReadTask (class in ray.data) ready() (ray.util.placement_group.PlacementGroup method) reallocate_trial_resources_if_needed() (ray.tune.schedulers.ResourceChangingScheduler method) record() (ray.util.metrics.Counter method) (ray.util.metrics.Gauge method) (ray.util.metrics.Histogram method) recv() (in module ray.util.collective.collective) recv_multigpu() (in module ray.util.collective.collective) reduce() (in module ray.util.collective.collective) reduce_multigpu() (in module ray.util.collective.collective) reducescatter() (in module ray.util.collective.collective) reducescatter_multigpu() (in module ray.util.collective.collective) register_analysis() (ray.tune.search.bayesopt.BayesOptSearch method) register_env() (in module ray.tune) register_if_needed() (ray.tune.Experiment class method) register_trainable() (in module ray.tune) relative_logdir (ray.tune.experiment.trial.Trial attribute) Remote Class Remote Function remote() (in module ray) (ray.serve.handle.DeploymentHandle method) (ray.serve.handle.RayServeHandle method) (ray.serve.handle.RayServeSyncHandle method) remote_checkpoint_dir (ray.tune.Experiment property) (ray.tune.experiment.trial.Trial property) remote_execution_api() (ray.autoscaler._private.fake_multi_node.test_utils.DockerCluster method) remote_path (ray.tune.Experiment property) (ray.tune.experiment.trial.Trial attribute) remove_placement_group() (in module ray.util) repartition() (ray.data.Dataset method) repeat() (ray.data.Dataset method) Repeater (class in ray.tune.search) Replica replica_id (ray.serve.schema.ReplicaDetails attribute) replica_tag (ray.serve.context.ReplicaContext attribute) ReplicaContext (class in ray.serve.context) replicas (ray.serve.schema.DeploymentDetails attribute) replicas_settings_valid() (ray.serve.config.AutoscalingConfig class method) report() (in module ray.train) (ray.tune.ProgressReporter method) ReportCheckpointCallback (class in ray.train.tensorflow.keras) request_timeout_s (ray.serve.config.HTTPOptions attribute) (ray.serve.schema.HTTPOptionsSchema attribute) required_resources (ray.tune.execution.placement_groups.PlacementGroupFactory property) reset() (ray.tune.Trainable method) reset_config() (ray.tune.Trainable method) resolved_filesystem (ray.data.datasource.Partitioning property) Resource (logical and physical) resource_help() (ray.tune.Trainable class method) resource_limits (ray.data.ExecutionOptions attribute) ResourceChangingScheduler (class in ray.tune.schedulers) resources (ray.serve.schema.RayActorOptionsSchema attribute) resources_per_worker (ray.train.ScalingConfig attribute) restore() (ray.train.data_parallel_trainer.DataParallelTrainer class method) (ray.train.gbdt_trainer.GBDTTrainer class method) (ray.train.horovod.HorovodTrainer class method) (ray.train.lightgbm.LightGBMTrainer class method) (ray.train.tensorflow.TensorflowTrainer class method) (ray.train.torch.TorchTrainer class method) (ray.train.trainer.BaseTrainer class method) (ray.train.xgboost.XGBoostTrainer class method) (ray.tune.schedulers.AsyncHyperBandScheduler method) (ray.tune.schedulers.FIFOScheduler method) (ray.tune.schedulers.HyperBandForBOHB method) (ray.tune.schedulers.HyperBandScheduler method) (ray.tune.schedulers.MedianStoppingRule method) (ray.tune.schedulers.pb2.PB2 method) (ray.tune.schedulers.PopulationBasedTraining method) (ray.tune.schedulers.PopulationBasedTrainingReplay method) (ray.tune.schedulers.TrialScheduler method) (ray.tune.search.bayesopt.BayesOptSearch method) (ray.tune.search.hebo.HEBOSearch method) (ray.tune.search.Searcher method) (ray.tune.Trainable method) (ray.tune.Tuner class method) restore_from_dir() (ray.tune.search.ax.AxSearch method) (ray.tune.search.basic_variant.BasicVariantGenerator method) (ray.tune.search.bayesopt.BayesOptSearch method) (ray.tune.search.bohb.TuneBOHB method) (ray.tune.search.ConcurrencyLimiter method) (ray.tune.search.dragonfly.DragonflySearch method) (ray.tune.search.hebo.HEBOSearch method) (ray.tune.search.hyperopt.HyperOptSearch method) (ray.tune.search.nevergrad.NevergradSearch method) (ray.tune.search.optuna.OptunaSearch method) (ray.tune.search.Repeater method) (ray.tune.search.Searcher method) (ray.tune.search.sigopt.SigOptSearch method) (ray.tune.search.skopt.SkOptSearch method) (ray.tune.search.zoopt.ZOOptSearch method) restore_from_object() (ray.tune.Trainable method) Result (class in ray.train) result() (ray.serve.handle.DeploymentResponse method) ResultGrid (class in ray.tune) results (ray.tune.ExperimentAnalysis property) results_df (ray.tune.ExperimentAnalysis property) resume() (in module ray.workflow) resume_all() (in module ray.workflow) resume_async() (in module ray.workflow) reuse_actors (ray.tune.TuneConfig attribute) Reward RobustScaler (class in ray.data.preprocessors) Rollout Rollout Worker root_device (ray.train.lightning.RayDDPStrategy property) (ray.train.lightning.RayDeepSpeedStrategy property) (ray.train.lightning.RayFSDPStrategy property) root_path (ray.serve.config.HTTPOptions attribute) (ray.serve.schema.HTTPOptionsSchema attribute) root_url (ray.serve.config.HTTPOptions attribute) route_prefix (ray.serve.Deployment property) (ray.serve.schema.ApplicationDetails attribute) (ray.serve.schema.DeploymentSchema attribute) (ray.serve.schema.ServeApplicationSchema attribute) run() (in module ray.serve) (in module ray.workflow) run_async() (in module ray.workflow) run_experiments() (in module ray.tune) run_identifier (ray.tune.Experiment property) RunConfig (class in ray.train) Runtime environment runtime_env (ray.runtime_context.RuntimeContext property) (ray.serve.schema.RayActorOptionsSchema attribute) (ray.serve.schema.ServeApplicationSchema attribute) runtime_env_contains_remote_uris() (ray.serve.schema.RayActorOptionsSchema class method) (ray.serve.schema.ServeApplicationSchema class method) RuntimeContext (class in ray.runtime_context) RuntimeEnv (class in ray.runtime_env) RuntimeEnvConfig (class in ray.runtime_env) RuntimeEnvSetupError

S

sample() (ray.data.block.BlockAccessor method) sample_from() (in module ray.tune) satisfies_limit() (ray.data.ExecutionResources method) save() (ray.tune.schedulers.AsyncHyperBandScheduler method) (ray.tune.schedulers.FIFOScheduler method) (ray.tune.schedulers.HyperBandForBOHB method) (ray.tune.schedulers.HyperBandScheduler method) (ray.tune.schedulers.MedianStoppingRule method) (ray.tune.schedulers.pb2.PB2 method) (ray.tune.schedulers.PopulationBasedTraining method) (ray.tune.schedulers.PopulationBasedTrainingReplay method) (ray.tune.schedulers.TrialScheduler method) (ray.tune.search.bayesopt.BayesOptSearch method) (ray.tune.search.hebo.HEBOSearch method) (ray.tune.search.Searcher method) (ray.tune.Trainable method) save_checkpoint() (ray.tune.Trainable method) save_to_dir() (ray.tune.search.ax.AxSearch method) (ray.tune.search.bayesopt.BayesOptSearch method) (ray.tune.search.bohb.TuneBOHB method) (ray.tune.search.ConcurrencyLimiter method) (ray.tune.search.dragonfly.DragonflySearch method) (ray.tune.search.hebo.HEBOSearch method) (ray.tune.search.hyperopt.HyperOptSearch method) (ray.tune.search.nevergrad.NevergradSearch method) (ray.tune.search.optuna.OptunaSearch method) (ray.tune.search.Repeater method) (ray.tune.search.Searcher method) (ray.tune.search.sigopt.SigOptSearch method) (ray.tune.search.skopt.SkOptSearch method) (ray.tune.search.zoopt.ZOOptSearch method) save_to_object() (ray.tune.Trainable method) scale() (ray.data.ExecutionResources method) ScalingConfig (class in ray.train) scheduler (ray.tune.TuneConfig attribute) schema (ray.data.block.BlockMetadata attribute) schema() (ray.data.block.BlockAccessor method) (ray.data.Dataset method) scheme (ray.data.datasource.PathPartitionParser property) SCRIPT ray-submit command line option SCRIPT_ARGS ray-submit command line option Search algorithm Search Space search_alg (ray.tune.TuneConfig attribute) Searcher (class in ray.tune.search) select() (ray.data.block.BlockAccessor method) select_columns() (ray.data.Dataset method) send() (in module ray.util.collective.collective) send_multigpu() (in module ray.util.collective.collective) serialize() (ray.data.preprocessor.Preprocessor method) (ray.data.preprocessors.Categorizer method) (ray.data.preprocessors.Concatenator method) (ray.data.preprocessors.CustomKBinsDiscretizer method) (ray.data.preprocessors.LabelEncoder method) (ray.data.preprocessors.MaxAbsScaler method) (ray.data.preprocessors.MinMaxScaler method) (ray.data.preprocessors.MultiHotEncoder method) (ray.data.preprocessors.Normalizer method) (ray.data.preprocessors.OneHotEncoder method) (ray.data.preprocessors.OrdinalEncoder method) (ray.data.preprocessors.PowerTransformer method) (ray.data.preprocessors.RobustScaler method) (ray.data.preprocessors.SimpleImputer method) (ray.data.preprocessors.StandardScaler method) (ray.data.preprocessors.UniformKBinsDiscretizer method) serialize_lineage() (ray.data.Dataset method) serialize_metric() (ray.tune.search.sigopt.SigOptSearch static method) serialize_result() (ray.tune.search.sigopt.SigOptSearch method) servable_object (ray.serve.context.ReplicaContext attribute) Serve application ServeHandle Session set() (ray.util.metrics.Gauge method) set_default_actor_lifetime() (ray.job_config.JobConfig method) set_default_tags() (ray.util.metrics.Counter method) (ray.util.metrics.Gauge method) (ray.util.metrics.Histogram method) set_finished() (ray.tune.search.basic_variant.BasicVariantGenerator method) set_location() (ray.tune.experiment.trial.Trial method) set_max_concurrency() (ray.tune.search.ax.AxSearch method) (ray.tune.search.bayesopt.BayesOptSearch method) (ray.tune.search.dragonfly.DragonflySearch method) (ray.tune.search.hyperopt.HyperOptSearch method) (ray.tune.search.nevergrad.NevergradSearch method) (ray.tune.search.optuna.OptunaSearch method) (ray.tune.search.Repeater method) (ray.tune.search.Searcher method) (ray.tune.search.skopt.SkOptSearch method) (ray.tune.search.zoopt.ZOOptSearch method) set_metadata() (ray.job_config.JobConfig method) (ray.train.Checkpoint method) set_options() (ray.serve.Deployment method) set_progress_bars() (in module ray.data) set_ray_namespace() (ray.job_config.JobConfig method) set_runtime_env() (ray.job_config.JobConfig method) set_search_properties() (ray.tune.schedulers.AsyncHyperBandScheduler method) (ray.tune.schedulers.FIFOScheduler method) (ray.tune.schedulers.PopulationBasedTrainingReplay method) (ray.tune.schedulers.TrialScheduler method) (ray.tune.search.basic_variant.BasicVariantGenerator method) (ray.tune.search.Searcher method) set_state() (ray.tune.Callback method) (ray.tune.logger.aim.AimLoggerCallback method) (ray.tune.logger.CSVLoggerCallback method) (ray.tune.logger.JsonLoggerCallback method) (ray.tune.logger.LoggerCallback method) (ray.tune.logger.TBXLoggerCallback method) set_status() (ray.tune.experiment.trial.Trial method) set_trace() (in module pdb) set_trial_resources() (ray.tune.schedulers.ResourceChangingScheduler method) setdefault() (ray.runtime_env.RuntimeEnv method) (ray.runtime_env.RuntimeEnvConfig method) setup() (ray.autoscaler._private.fake_multi_node.test_utils.DockerCluster method) (ray.train.data_parallel_trainer.DataParallelTrainer method) (ray.train.gbdt_trainer.GBDTTrainer method) (ray.train.horovod.HorovodTrainer method) (ray.train.lightgbm.LightGBMTrainer method) (ray.train.tensorflow.TensorflowTrainer method) (ray.train.torch.TorchTrainer method) (ray.train.trainer.BaseTrainer method) (ray.train.xgboost.XGBoostTrainer method) (ray.tune.Callback method) (ray.tune.logger.aim.AimLoggerCallback method) (ray.tune.logger.CSVLoggerCallback method) (ray.tune.logger.JsonLoggerCallback method) (ray.tune.logger.LoggerCallback method) (ray.tune.logger.TBXLoggerCallback method) (ray.tune.ProgressReporter method) (ray.tune.Trainable method)

setup_create_experiment_checkpoint_dir() (ray.tune.impl.tuner_internal.TunerInternal class method) setup_ray_cluster() (in module ray.util.spark) share_cuda_visible_devices (ray.train.backend.Backend attribute) should_capture_child_tasks_in_placement_group (ray.runtime_context.RuntimeContext property) should_checkpoint() (ray.tune.experiment.trial.Trial method) should_recover() (ray.tune.experiment.trial.Trial method) should_report() (ray.tune.ProgressReporter method) should_stop() (ray.tune.experiment.trial.Trial method) show() (ray.data.Dataset method) shutdown() (in module ray) (in module ray.serve) (ray.cluster_utils.AutoscalingCluster method) (ray.util.queue.Queue method) shutdown_ray_cluster() (in module ray.util.spark) SigOptSearch (class in ray.tune.search.sigopt) SimpleImputer (class in ray.data.preprocessors) size() (ray.util.queue.Queue method) size_bytes (ray.data.block.BlockMetadata attribute) size_bytes() (ray.data.block.BlockAccessor method) (ray.data.Dataset method) SkOptSearch (class in ray.tune.search.skopt) slice() (ray.data.block.BlockAccessor method) smoothing_factor (ray.serve.config.AutoscalingConfig attribute) soft (ray.util.scheduling_strategies.NodeAffinitySchedulingStrategy attribute) sort() (ray.data.Dataset method) sort_and_partition() (ray.data.block.BlockAccessor method) Spillback split() (ray.data.Dataset method) split_at_indices() (ray.data.Dataset method) split_proportionately() (ray.data.Dataset method) ssh_identity_file (ray.train.horovod.HorovodConfig attribute) ssh_port (ray.train.horovod.HorovodConfig attribute) ssh_str (ray.train.horovod.HorovodConfig attribute) StandardScaler (class in ray.data.preprocessors) start() (in module ray.serve) (ray.autoscaler._private.fake_multi_node.test_utils.DockerCluster method) (ray.cluster_utils.AutoscalingCluster method) start_time_s (ray.serve.schema.ReplicaDetails attribute) start_timeout (ray.train.horovod.HorovodConfig property) State state (ray.serve.schema.ReplicaDetails attribute) stats() (ray.data.DataIterator method) (ray.data.Dataset method) (ray.data.random_access_dataset.RandomAccessDataset method) status (ray.serve.schema.ApplicationDetails attribute) (ray.serve.schema.DeploymentDetails attribute) (ray.tune.experiment.trial.Trial attribute) status() (in module ray.serve) Std (class in ray.data.aggregate) std() (ray.data.Dataset method) (ray.data.grouped_data.GroupedData method) step() (ray.tune.Trainable method) stop (ray.train.RunConfig attribute) STOP (ray.tune.schedulers.FIFOScheduler attribute) (ray.tune.schedulers.HyperBandForBOHB attribute) (ray.tune.schedulers.HyperBandScheduler attribute) (ray.tune.schedulers.MedianStoppingRule attribute) (ray.tune.schedulers.pb2.PB2 attribute) (ray.tune.schedulers.PopulationBasedTraining attribute) (ray.tune.schedulers.PopulationBasedTrainingReplay attribute) (ray.tune.schedulers.ResourceChangingScheduler attribute) (ray.tune.schedulers.TrialScheduler attribute) stop() (ray.autoscaler._private.fake_multi_node.test_utils.DockerCluster method) (ray.tune.Trainable method) stop_all() (ray.tune.stopper.ExperimentPlateauStopper method) (ray.tune.stopper.Stopper method) stop_experiment() (ray.tune.web_server.TuneClient method) stop_trial() (ray.tune.web_server.TuneClient method) Stopper (class in ray.tune.stopper) stopper (ray.tune.Experiment property) storage_filesystem (ray.train.RunConfig attribute) storage_path (ray.train.RunConfig attribute) strategy (ray.tune.execution.placement_groups.PlacementGroupFactory property) streaming_split() (ray.data.Dataset method) style (ray.data.datasource.Partitioning attribute) submit() (ray.util.ActorPool method) suggest() (ray.tune.search.bayesopt.BayesOptSearch method) (ray.tune.search.Searcher method) Sum (class in ray.data.aggregate) sum() (ray.data.Dataset method) (ray.data.grouped_data.GroupedData method) supports_buffered_results (ray.tune.schedulers.FIFOScheduler property) (ray.tune.schedulers.HyperBandForBOHB property) (ray.tune.schedulers.HyperBandScheduler property) (ray.tune.schedulers.MedianStoppingRule property) (ray.tune.schedulers.pb2.PB2 property) (ray.tune.schedulers.PopulationBasedTraining property) (ray.tune.schedulers.PopulationBasedTrainingReplay property) (ray.tune.schedulers.ResourceChangingScheduler property) (ray.tune.schedulers.TrialScheduler property) sync_artifacts (ray.train.SyncConfig attribute) sync_artifacts_on_checkpoint (ray.train.SyncConfig attribute) sync_config (ray.train.RunConfig attribute) sync_on_checkpoint (ray.train.SyncConfig attribute) sync_period (ray.train.SyncConfig attribute) sync_timeout (ray.train.SyncConfig attribute) SyncConfig (class in ray.train) syncer (ray.train.SyncConfig attribute) synchronize() (in module ray.util.collective.collective) Synchronous execution Synchronous sampling

T

take() (ray.data.block.BlockAccessor method) (ray.data.Dataset method) take_all() (ray.data.Dataset method) take_batch() (ray.data.Dataset method) target_num_ongoing_requests_per_replica (ray.serve.config.AutoscalingConfig attribute) Task task_id (ray.runtime_context.RuntimeContext property) TaskCancelledError TaskPlacementGroupRemoved TaskUnschedulableError TBXLoggerCallback (class in ray.tune.logger) teardown() (ray.autoscaler._private.fake_multi_node.test_utils.DockerCluster method) TensorflowConfig (class in ray.train.tensorflow) TensorflowTrainer (class in ray.train.tensorflow) time_budget_s (ray.tune.TuneConfig attribute) timeline() (in module ray) timeout_s (ray.train.horovod.HorovodConfig attribute) (ray.train.torch.TorchConfig attribute) TimeoutStopper (class in ray.tune.stopper) to_arrow() (ray.data.block.BlockAccessor method) to_arrow_refs() (ray.data.Dataset method) to_batch_format() (ray.data.block.BlockAccessor method) to_block() (ray.data.block.BlockAccessor method) to_dask() (ray.data.Dataset method) to_default() (ray.data.block.BlockAccessor method) to_directory() (ray.train.Checkpoint method) to_mars() (ray.data.Dataset method) to_modin() (ray.data.Dataset method) to_numpy() (ray.data.block.BlockAccessor method) to_numpy_refs() (ray.data.Dataset method) to_pandas() (ray.data.block.BlockAccessor method) (ray.data.Dataset method) to_pandas_refs() (ray.data.Dataset method) to_random_access_dataset() (ray.data.Dataset method) to_spark() (ray.data.Dataset method) to_tf() (ray.data.DataIterator method) (ray.data.Dataset method) to_torch() (ray.data.Dataset method) TorchConfig (class in ray.train.torch) TorchTrainer (class in ray.train.torch) total_resources (ray.train.ScalingConfig property) total_samples (ray.tune.search.basic_variant.BasicVariantGenerator property) train() (ray.tune.Trainable method) train_buffered() (ray.tune.Trainable method) train_test_split() (ray.data.Dataset method) Trainable (class in ray.tune) trainable_name (ray.tune.experiment.trial.Trial attribute) TrainContext (class in ray.train.context) Trainer Trainer configuration trainer_resources (ray.train.ScalingConfig attribute) Training epoch Training iteration Training step training_iteration (ray.tune.Trainable property) training_loop() (ray.train.trainer.BaseTrainer method) transform() (ray.data.preprocessor.Preprocessor method) (ray.data.preprocessors.Categorizer method) (ray.data.preprocessors.Concatenator method) (ray.data.preprocessors.CustomKBinsDiscretizer method) (ray.data.preprocessors.LabelEncoder method) (ray.data.preprocessors.MaxAbsScaler method) (ray.data.preprocessors.MinMaxScaler method) (ray.data.preprocessors.MultiHotEncoder method) (ray.data.preprocessors.Normalizer method) (ray.data.preprocessors.OneHotEncoder method) (ray.data.preprocessors.OrdinalEncoder method) (ray.data.preprocessors.PowerTransformer method) (ray.data.preprocessors.RobustScaler method) (ray.data.preprocessors.SimpleImputer method) (ray.data.preprocessors.StandardScaler method) (ray.data.preprocessors.UniformKBinsDiscretizer method)

transform_batch() (ray.data.preprocessor.Preprocessor method) (ray.data.preprocessors.Categorizer method) (ray.data.preprocessors.Concatenator method) (ray.data.preprocessors.CustomKBinsDiscretizer method) (ray.data.preprocessors.LabelEncoder method) (ray.data.preprocessors.MaxAbsScaler method) (ray.data.preprocessors.MinMaxScaler method) (ray.data.preprocessors.MultiHotEncoder method) (ray.data.preprocessors.Normalizer method) (ray.data.preprocessors.OneHotEncoder method) (ray.data.preprocessors.OrdinalEncoder method) (ray.data.preprocessors.PowerTransformer method) (ray.data.preprocessors.RobustScaler method) (ray.data.preprocessors.SimpleImputer method) (ray.data.preprocessors.StandardScaler method) (ray.data.preprocessors.UniformKBinsDiscretizer method) transform_stats() (ray.data.preprocessor.Preprocessor method) (ray.data.preprocessors.Categorizer method) (ray.data.preprocessors.Concatenator method) (ray.data.preprocessors.CustomKBinsDiscretizer method) (ray.data.preprocessors.LabelEncoder method) (ray.data.preprocessors.MaxAbsScaler method) (ray.data.preprocessors.MinMaxScaler method) (ray.data.preprocessors.MultiHotEncoder method) (ray.data.preprocessors.Normalizer method) (ray.data.preprocessors.OneHotEncoder method) (ray.data.preprocessors.OrdinalEncoder method) (ray.data.preprocessors.PowerTransformer method) (ray.data.preprocessors.RobustScaler method) (ray.data.preprocessors.SimpleImputer method) (ray.data.preprocessors.StandardScaler method) (ray.data.preprocessors.UniformKBinsDiscretizer method) Transition Trial (class in ray.tune.experiment.trial) Trial Executor Trial scheduler trial_dataframes (ray.tune.ExperimentAnalysis property) trial_dirname_creator (ray.tune.TuneConfig attribute) trial_id (ray.tune.experiment.trial.Trial attribute) (ray.tune.Trainable property) trial_name (ray.tune.Trainable property) trial_name_creator (ray.tune.TuneConfig attribute) trial_resources (ray.tune.Trainable property) TrialPlateauStopper (class in ray.tune.stopper) TrialScheduler (class in ray.tune.schedulers) Tune Config Tune Driver tune_address (ray.tune.web_server.TuneClient attribute) TuneBOHB (class in ray.tune.search.bohb) TuneClient (class in ray.tune.web_server) TuneConfig (class in ray.tune) Tuner (class in ray.tune) TuneReportCallback (class in ray.tune.integration.lightgbm) (class in ray.tune.integration.pytorch_lightning) (class in ray.tune.integration.xgboost) TuneReportCheckpointCallback (class in ray.tune.integration.lightgbm) (class in ray.tune.integration.pytorch_lightning) (class in ray.tune.integration.xgboost) TunerInternal (class in ray.tune.impl.tuner_internal)

U

uniform() (in module ray.tune) UniformKBinsDiscretizer (class in ray.data.preprocessors) union() (ray.data.Dataset method) unique() (ray.data.Dataset method) update() (ray.runtime_env.RuntimeEnv method) (ray.runtime_env.RuntimeEnvConfig method) update_config() (ray.autoscaler._private.fake_multi_node.test_utils.DockerCluster method) update_metadata() (ray.train.Checkpoint method)

update_resources() (ray.tune.experiment.trial.Trial method) upload_dir (ray.train.SyncConfig attribute) upscale_delay_s (ray.serve.config.AutoscalingConfig attribute) upscale_smoothing_factor (ray.serve.config.AutoscalingConfig attribute) use_gpu (ray.train.ScalingConfig attribute) user_config (ray.serve.Deployment property) (ray.serve.schema.DeploymentSchema attribute) uses_cloud_checkpointing (ray.tune.Trainable property)

V

VALID_HPARAMS (ray.tune.logger.aim.AimLoggerCallback attribute) (ray.tune.logger.TBXLoggerCallback attribute) VALID_NP_HPARAMS (ray.tune.logger.aim.AimLoggerCallback attribute) (ray.tune.logger.TBXLoggerCallback attribute) VALID_SUMMARY_TYPES (ray.tune.CLIReporter attribute) (ray.tune.JupyterNotebookReporter attribute)

validate_save_restore() (in module ray.tune.utils) values() (ray.runtime_env.RuntimeEnv method) (ray.runtime_env.RuntimeEnvConfig method) verbose (ray.train.horovod.HorovodConfig attribute) (ray.train.RunConfig attribute) verbose_progress (ray.data.ExecutionOptions attribute)

W

wait() (in module ray) (ray.util.placement_group.PlacementGroup method) wait_for_gpu() (in module ray.tune.utils) wait_for_resources() (ray.autoscaler._private.fake_multi_node.test_utils.DockerCluster static method) wall_time_s (ray.data.block.BlockExecStats attribute) warn_for_middlewares() (ray.serve.config.HTTPOptions class method) warn_for_num_cpus() (ray.serve.config.HTTPOptions class method) was_current_actor_reconstructed (ray.runtime_context.RuntimeContext property) window() (ray.data.Dataset method) with_parameters() (in module ray.tune) with_resources() (in module ray.tune) Worker process / worker

WorkerCrashedError wrap_function() (in module ray.tune.trainable.function_trainable) write() (ray.data.Datasource method) write_csv() (ray.data.Dataset method) write_datasource() (ray.data.Dataset method) write_images() (ray.data.Dataset method) write_json() (ray.data.Dataset method) write_mongo() (ray.data.Dataset method) write_numpy() (ray.data.Dataset method) write_parquet() (ray.data.Dataset method) write_sql() (ray.data.Dataset method) write_tfrecords() (ray.data.Dataset method) write_webdataset() (ray.data.Dataset method)

X

XGBoostTrainer (class in ray.train.xgboost)

Z

zip() (ray.data.block.BlockAccessor method) (ray.data.Dataset method)

ZOOptSearch (class in ray.tune.search.zoopt)